Chúc mừng sinh viên Nhóm nghiên cứu UiTiOt đã có bài báo khoa học được chấp nhận tại Hội nghị RIVF 2024 được tổ chức vào 21-23/12/2024 tại Trường Đại học Duy Tân, Tp. Đà Nẵng.
Bài báo: Enhancing Detection Capacity and Security for Network-based Intrusion Detection Systems in Internet of Things
– Sinh viên thực hiện:
+ Phạm Phúc Đức – ATTT 2020 – Tác giả chính
+ Nguyễn Nhật Hiếu Trung – ATTT 2020 – Đồng tác giả
– Giảng viên hướng dẫn: PGS. TS. Lê Trung Quân, ThS. Nguyễn Khánh Thuật và ThS. Văn Thiên Luân
Tóm tắt bài báo:
As the number of Internet of Things devices continues to grow, so does the risk of attacks, which significantly impacts financial aspects and the potential loss of sensitive data. This makes Network-based Intrusion Detection Systems (NIDS) using machine learning algorithms more critical than ever. However, a key concern is the input data for the machine learning models. Most models require large datasets to achieve high accuracy, but this data often needs to maintain privacy if it includes personal information. Additionally, the trustworthiness of devices in the system must be ensured, as unreliable devices can reduce the model’s effectiveness or lead to significant data loss. To address these challenges, we propose using Generative Adversarial Networks (GAN) to enrich training data and combining Blockchain with Federated Learning (FL) to ensure data privacy and component validation. This approach results in a robust, efficient model that balances lightweight design with high reliability.
Thông tin Hội nghị:
Started in 2003, RIVF (Research, Innovation and Vision for the Future) has become a major scientific event for researchers in the field of Computing and Communication Technologies, not only in Vietnam but also worldwide.
In 2024, Duy Tan University (DTU) will host the conference from December 21-23, 2024 in Da Nang, Vietnam. It continues to offer an opportunity for researchers and innovators to discuss problems, share results, identify emerging issues, and establish academic collaborations in various disciplines of computing and communications.
The conference solicits submission of research papers in major areas of communication and computing, organized into five tracks. Relevant topics of each track include, but are not limited to:
- AI, Data Science, Big Data Analytics, Smart Computing, Intelligent Systems
- Language and Speech Processing
- Image, Computer Vision, Pattern Recognition
- Internet of Things (IoT), Internet of Everything (IoE), Edge Computing, Cloud Computing and Quantum Computing
- Autonomous Technologies and Future Driven AI Techniques
- Digital Twin and Metaverse
- Industrial Session track
- Cyber-Security, Cryptography, Blockchain & Applications
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